Steampipe is a tool for querying cloud APIs and other data sources using SQL in a zero-ETL manner. - Source: dev.to / about 2 months ago

Few projects in the same realm that you should also checkout - [1] Steampipe (https://steampipe.io/) [2] InfraSQL (https://iasql.com/). - Source: Hacker News / 3 months ago

In a prior post I showed how to install Steampipe in AWS CloudShell to instantly query over 460+ resource types from your AWS APIs using SQL, and another post on how to use the Steampipe AWS Compliance mod to assess over 25+ security benchmarks across your AWS accounts. - Source: dev.to / 4 months ago

This seems similar to this[1] Steampipe[2] plugin. [1] https://github.com/turbot/steampipe-plugin-github. - Source: Hacker News / 4 months ago

Steampipe [1] is an open source project [2] that includes an embedded Postgres to instantly query cloud, code & more with SQL. This release expands our plugin ecosystem [3] to be a full Zero-ETL platform. Steampipe plugins can now run natively in your own Postgres as Foreign Data Wrappers [4], as SQLite extensions [5] or as simple data export tools [6]. Please give it a try, we'd love your feedback and... - Source: Hacker News / 5 months ago

You can use my SQL spreadsheet app: https://superintendent.app I had a similar problem at work where I needed to do some formula on a 5 GB CSV file. Excel can't handle more than 1M rows. Database is too clunky. Eventually I built a GUI wrapper on SQLite, and it grew into Superintendent.app. - Source: Hacker News / about 17 hours ago

Desktop first made me think of Superintendant[0] which I’ve enjoyed using 0: https://superintendent.app/. - Source: Hacker News / 10 months ago

Project 3: Electron with typescripts. 15 paying users. Source: 11 months ago

That is exactly https://superintendent.app (disclaimer: I'm the creator). - Source: Hacker News / about 1 year ago

Well, shameless plug. https://superintendent.app (paid with free trial) enables you to load a bunch of CSVs and write SQL on those CSV files. It's a much faster to work with if you know SQL well. It can also handle millions of rows easily (e.g. Loading 1GB CSV file takes 10s on Macbook Pro). I initially built it because I had to identify the mismatched transactions between 2 giant CSVs using "full outer join". - Source: Hacker News / over 1 year ago